DigitalOcean jobs

As a Software Engineer, AI at DigitalOcean, you will join our dynamic AI team within Cloudways, dedicated to integrating cutting-edge AI capabilities into our managed hosting platform. You will report to the AI Engineering Manager and work cross-functionally with platform engineers, product managers, and infrastructure teams. In this role, you'll own the design and implementation of AI-powered features that simplify complex cloud operations, drive automation, and enhance developer experience. The ideal person will be a self-motivated engineer with 3-5 years of experience, capable of working independently on end-to-end AI solutions.

Salary not listed

DigitalOcean is seeking a Senior Manager, Agentic Analytics Platform Engineering to lead a high-performing team and drive the next generation of their business intelligence infrastructure. This player-coach role will bridge complex data architecture with executive strategy, fostering data proficiency and governance across the organization. The position involves owning the strategic vision for AI-enabled analytics solutions, leading the design of semantic layers, and overseeing data modeling and BI infrastructure using tools like dbt. The role also includes managing and mentoring engineering professionals, and collaborating with stakeholders to translate business goals into technical frameworks, while ensuring the performance and reliability of data pipelines.

$192k - $240k

DigitalOcean is building the Agentic Inference Cloud, a platform designed to help AI-native companies scale and optimize agentic workloads. The Applied Research team is central to this effort, generating proprietary science that enhances the platform's capabilities in areas like adaptive routing, memory, observability, and reinforcement learning. We are seeking a Director of Research to lead this function, setting the research agenda, growing the team, and ensuring that scientific advancements translate into tangible product improvements, such as better model selection, more reliable agents, and reduced costs and latency for users.

$250k - $312k

DigitalOcean is seeking an AI Architect to define the technical vision for how the company operates as an AI-native business. This role will own the architecture for agentic systems and the enterprise architecture they integrate with, enabling any team to deploy governed agents into business workflows quickly and safely. You will be responsible for the end-to-end architecture, including how agents are built and run, their interaction with models and enterprise systems, long-running work orchestration, and the implementation of identity, audit, and observability. This is a hands-on role involving coding, prototyping, and setting technical standards across distributed teams.

$191k - $239k

DigitalOcean is building the infrastructure that enables developers to build, run, and scale AI-powered applications and autonomous coding agents. As a Senior Software Engineer on the MARS (Managed Agent Runtime Services) team, you will help build a production-grade platform for running coding agents and agentic workflows securely, reliably, and at scale. You will design and implement core components of our managed agent runtime, including agent framework integrations, execution environments, control-plane APIs, event-driven infrastructure, and developer-facing APIs and tools. You will work across distributed systems, cloud infrastructure, and emerging agentic AI technologies to make it easy for developers to build sophisticated agents without having to manage the underlying infrastructure. We are looking for a strong engineer who combines deep software engineering fundamentals with pragmatic architectural judgment, end-to-end ownership, and a passion for simplifying complex technology for developers.

$167k - $209k

This role focuses on building AI agents that learn and improve over time by incorporating feedback, correcting mistakes, and optimizing towards user-defined outcomes. As a Staff AI/ML Engineer on the Applied Research team, you will lead the technical direction for feedback-driven learning within DigitalOcean's agentic systems. This includes owning the roadmap for reward modeling, preference optimization, reinforcement learning, and the necessary evaluation infrastructure to ensure these systems are effective. You will be responsible for shipping research into production, setting technical direction, running large-scale experiments, and closing the loop between user signals and model behavior.

$217k - $271k

DigitalOcean's Agentic AI organization is seeking a Staff Software Engineer to provide technical leadership for their Feedback Systems team. This role will focus on architecting massive-scale infrastructure for simulating, testing, and evaluating AI agents. You will define the architectural vision for systems that simulate multi-agent, multi-turn deployments with tool integration, enabling customers to analyze "what-if" scenarios for their AI agents. This is a high-impact leadership position involving advanced problem-solving at the intersection of LLM orchestration, synthetic data generation, and behavioral simulation, including defining user personas and structuring evaluation objectives. You will set technical standards and guide engineering strategy across the Agentic AI organization.

Salary not listed

The Forward Deployed Engineering (FDE) team operates at the intersection of AI research, production deployment, and customer impact. As an Agentic AI Applied Scientist, you will embed directly with high-growth startups, tech innovators, and AI native enterprise partners. You will design, build, and deploy custom autonomous agent architectures running on DigitalOcean’s high-performance AI infrastructure. This role involves architecting production-ready agentic frameworks, directing customer integration, synthesizing research and deployment, and driving reliability and evaluation of AI systems.

$220k - $239k

DigitalOcean is seeking a Principal Engineer to define the technical vision and roadmap for the memory and storage layer of their inference platform. This role is crucial for optimizing the serving stack of frontier open models on GPU fleets at production scale. The focus will be on creating a unified, multi-tier memory and storage substrate that spans GPU HBM, host DRAM, local NVMe, and remote object storage, accessible through a coherent interface to all serving engines and routers. The ideal candidate will drive unit economics, contribute to open-source projects, and set direction across teams.

$250k - $312k

DigitalOcean is seeking a Staff Engineer to design and optimize their Serverless Inference infrastructure and APIs. This role will focus on tackling large-scale AI workloads, emphasizing throughput, GPU utilization, and fault tolerance to support the next generation of AI-native enterprises. You will be instrumental in building scalable, multi-tenant services for AI inference and intelligent routing, while also strengthening platform resiliency through enhanced observability, capacity management, and automation. This position requires close collaboration with platform, GPU infrastructure, and product engineering teams to deliver robust, highly available systems and APIs.

$191k - $239k

We are seeking a Senior Forward Deployed Engineer (FDE) to join our AI Infrastructure team. In this role, you will work closely with strategic AI enterprises and high-growth startups, architecting, implementing, and fine-tuning production infrastructure on DigitalOcean's AI-Native Cloud. You will embed directly with customer engineering teams to solve complex infrastructure bottlenecks, optimize GPU cluster performance, and engineer critical inference and training platforms. Your mission is to accelerate the adoption of AI-native systems and shape the future of AI cloud infrastructure for the inference and agentic era.

Salary not listed

DigitalOcean is seeking a Senior Engineering Manager to lead their Inference Orchestration team. This role will drive the strategy, execution, and scaling of the company's Kubernetes-based AI infrastructure. The manager will be responsible for balancing business needs with technical excellence, ensuring high throughput, optimal GPU utilization, and robust fault tolerance for next-generation disaggregated inference, fine-tuning, and training workloads. The position involves team leadership, project execution, cross-functional collaboration, and ensuring the operational health of services.

$201k - $251k

DigitalOcean is seeking a Staff Engineer to play a key technical role in their AI Inference Optimization team. The goal is to establish DigitalOcean as the Inference Cloud of choice for digitally native companies by ensuring industry-leading performance for inference services. This role involves making architectural decisions to maximize throughput and minimize latency for advanced large models. As an individual contributor leader, you will act as a force multiplier, solving complex bottlenecks in memory bandwidth and compute utilization, and guiding the technical roadmap for the high-performance inference fleet.

$191k - $239k

DigitalOcean is seeking a Principal Engineer, AI/ML Security to lead the charge in securing AI systems and operationalizing ML-powered security at cloud scale. This role involves defining AI security controls, building and deploying AI/ML models and guardrails, and leading adversarial testing and AI red teaming. You will also be responsible for threat modeling across the AI lifecycle, owning the AI Security strategy and roadmap, and architecting the AI Risk & Governance framework. This position requires representing AI security at executive briefings and defining the company's stance on emerging AI security topics.

$230k - $288k

DigitalOcean is seeking a Principal Engineer to lead model optimization efforts for serving across their entire accelerator fleet, including NVIDIA and AMD hardware. This role is critical for bridging the gap between a model that simply runs and one that performs efficiently, directly impacting customer Service Level Objectives (SLOs) and GPU resource utilization. You will be responsible for the end-to-end model optimization process, encompassing quantization strategies, kernel selection and development, efficient execution of attention and Mixture of Experts (MoE) layers, speculative decoding, and parallelism layouts. This work involves adapting to rapidly evolving model architectures and diverse hardware vendor stacks, requiring the development of robust methodologies and tooling to ensure all models perform optimally on all GPUs, enabling rapid deployment of new models.

$250k - $312k